HyperparameterCandidates

Built by <code>tune_over()</code> and stored in the hyperparameter it is assigned to, so
that a search space is a distinct type, never inferred from a vector's
length.

Machine learning and visualization package with an 'S7' backend featuring
comprehensive type checking and validation, observable runs, and auditable outputs.
The functional API provides one-call access to supervised and unsupervised learning
through train(), cluster(), and decomp(). All configuration steps are performed using
setup functions and validated. A single call to train() can handle preprocessing,
decomposition, hyperparameter tuning, model stacking, and testing with nested resampling.
Supports 'data.frame', 'data.table', and 'tibble' inputs and parallel execution. Plot
methods for trained and resampled supervised models draw interactive figures through
'rtemis.draw'. Includes native implementations of SuperLearner, RuleFit, and Linear
Additive Trees, and supports conformal prediction. The package first appeared in
E.D. Gennatas (2017)
<https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.

Efstathios D. Gennatas

rtemis

Schema-Driven Machine Learning and Visualization

E.D. Gennatas

HyperparameterCandidates function

<dl><dt>candidates</dt>
<dd>List: The values to search over, one per element.</dd>
<dt>from_vector</dt>
<dd>Logical: TRUE when the candidates were read out of a
single bare vector. A vector is also how one value of a vector-valued
hyperparameter is written, so that one combination cannot be inferred; this
records it so the hyperparameter can reject it with a correction.</dd></dl>

Arguments

Author

The values a tuner may choose among for one hyperparameter — HyperparameterCandidates

<dl>

<dt>candidates</dt>
<dd>List: The values to search over, one per element.</dd>


<dt>from_vector</dt>
<dd>Logical: TRUE when the candidates were read out of a
single bare vector. A vector is also how one value of a vector-valued
hyperparameter is written, so that one combination cannot be inferred; this
records it so the hyperparameter can reject it with a correction.</dd>

</dl>

HyperparameterCandidates: The values a tuner may choose among for one hyperparameter

Description

Usage

Value

Arguments

Author

Examples